2 Mechanisms of DNA Methylation

Page 1: Overview of DNA Methylation

  • Assigned Readings:

    • Kadonaga. Perspectives on the RNA Polymerase II Core Promoter. Wiley Interdiscip. Rev. Dev. Biol. 2012

    • Tollefsbol, "Handbook of Epigenetics: Chapter 2"

    • Ooi et al., DNMT3L connects unmethylated lysine 4 of histone H3 to de novo methylation of DNA. Nature 2007

Page 2: Controlling Transcription

  • Promoter Types:

    • Not all promoters are the same, including TATA, Inr, DPE, BRE.

  • Transcription Factor Influence:

    • Activators and repressors can modify transcription processes.

  • Chromatin Structure:

    • Will be discussed in the next lecture (Chapter 3).

  • Post-Translational Modifications (PTMs):

    • Observations on PTMs of DNA play a critical role.

Page 3: Promoter Understanding

  • TATA-Dependent Promoters:

    • Majority of understanding derived from TATA-dependent scenarios (10-20% of all promoters).

    • About one-third of promoters do not possess known motifs.

  • Inr (Initiator) Sequence:

    • Most prevalent is YYANWYY (A+1) in humans, regardless of predominant mRNA.

    • TFIID interacts; TATA box is bound by TBP at -30 relative to Inr.

    • Two BREs are uncommon; both can exert positive and negative effects on transcription.

    • Downstream core promoter elements are present in TATA-less scenarios (located +18 to +33).

    • TAF6 and TAF9 are also involved.

    • Reference: Kadonaga, 2013.

Page 4: Additional Promoter Details

  • TCT Motif:

    • Found in polypyrimidine initiators as YC+1TYTYY in humans, linked to translation genes.

  • Transcription Pausing:

    • Noted pausing 20-50 nt downstream from the start site, may utilize DPE/TAFs.

  • CpG Islands:

    • Represent 50% of known promoters and typically remain unmethylated.

    • Reference: Kadonaga, 2013.

Page 5: Focused vs. Dispersed Transcription Models

  • Models of Transcription:

    • Focused Transcription Model - Initiating transcription at a precise location.

    • Dispersed Transcription Model - Multiple weak start sites allow for resilience to DNA changes.

  • Pol II and TFIID Relationship:

    • Interaction between Pol II, TFIID and specific promoter-binding factors, e.g., Sp1.

    • Reference: Kadonaga, 2013.

Page 6: Focused vs. Dispersed Transcription - Practical Implications

  • Gene Control:

    • It is practical to control genes from specific start points.

    • Genes using multiple weak start sites display enhanced stability to minor DNA structural changes.

Page 7: Impact of Promoter Composition

  • Case Study: p53 Activation:

    • p21 Transcriptional Activation:

      • Fast activation, efficient PIC assembly, contains TATA box, promotes cell cycle arrest.

    • FAS Transcriptional Activation:

      • Slow activation, inefficient PIC assembly, TATA-less promoter that promotes apoptosis.

Page 8: Transition to Next Lecture

  • Lecture Part II:

    • Title: LIBERTY UNIVERSITY

Page 9: Summary of Promoter Control Features

  • Key Focus Areas:

    • Promoter diversity includes TATA, Inr, DPE, and BRE structures.

    • The role of transcription factors on modulation.

    • Overview of chromatin structure to be further elaborated in the next chapter.

    • Importance of PTMs on DNA.

Page 10: Methylation Overview

  1. DNMT Types:

    • DNMT3 versus DNMT1

  2. DNMT3L Role:

  3. Protein Patterns:

    • Integration into heritable marks.

  4. Mechanisms of Methylation:

  5. Demethylation Process:

    • Focus on roles of DNA Methyltransferases (DNMTs).

Page 11: DNMT Variants and Functions

  • DNMT Families:

    • DNMT1, DNMT2, DNMT3a, DNMT3b, DNMT3L;

    • DNMT2 associated with RNA methylation playing a role in tRNA stability.

Page 12: DNMT Functionalities

  • Maintenance vs. De Novo Enzymes:

    • DNMT1 acts as maintenance enzyme for DNA methylation, while DNMT3 is involved in de novo methylation processes.

    • DNMT3L considered a 'dead' enzyme.

Page 13: Structural Features of DNMTs

  • DNMT1 Specifics:

    • Contains replication domains aiding in interaction with PCNA.

  • DNMT3L Characteristics:

    • Lacks PWWP domain for non-specific DNA binding and conserved catalytic sequences.

Page 14: Mechanistic Overview of DNMTs

  • De Novo vs. Maintenance Activity:

    • DNMT1 methylates hemi-methylated substrates, ensuring replication and maintenance process.

    • Focus on unmodified DNA and roles across methylation states.

    • Reference: Tollefsbol, "Handbook of Epigenetics: Chapter 2"

Page 15: Observational Insights

  • Stable CpG Patterns:

    • Hypothesis emerging from observations indicates stable CpG patterns may guide non-CpG DNA methylation. (Grandjean, 2007)

Page 16: Dnmt3L Phenotypic Observations

  • Dnmt3L Knock-Out Effects:

    • Similar phenotype between Dnmt3L and Dnmt3a knockouts;

    • Dnmt3L enhances de novo activity of the methylation complex and co-localizes with Dnmt3 enzymes.

Page 17: Interaction Details of Dnmt3L

  • 3L and 3A Interaction:

    • Alteration of interfaces detrimental to the activity of the complex.

    • Dnmt3A dimer increases overall DNA binding efficiency, also interacts with H3 tails in nucleosomes.

Page 18: Methylation Efficiency of Dnmt3A

  • Binding and Methylation Mechanism:

    • Dnmt3A capable of methylating CpGs in close proximity (8-10 bp apart) in one binding event.

Page 19: Linking Protein Patterns to Inheritable Marks

  • Interconnections:

    • DNA methylation closely tied to histone modifications;

    • Dnmt3L interacts with both Dnmt3 enzymes and histones.

  • Epigenetic Correlation:

    • Indirect and direct correlations established between methylation patterns and histone modifications.

Page 20: Correlation Between Methylation and Histone Modifications

  • Conditional Relationships:

    • Methylation levels of histones correlate with local DNA methylation; essential histone modifying enzymes implicated in methylation changes across species.

Page 21: Reiteration of Key Topics

  1. DNMT3 versus DNMT1.

  2. DNMT3L.

  3. Translating protein patterns into inheritable marks.

  4. Methylation mechanisms.

  5. Demethylation processes.

Page 22: Mechanisms of DNA Methylation

  • Key Players UHRF1 and PCNA:

    • UHRF1 targets DNMT1 to hemimethylated DNA for maintenance.

  • Mechanism Description:

    • Newly replicated DNA is only methylated on the 'old' strand, ensuring CpG patterns are maintained across generations.

Page 23: Base Flipping Mechanism

  • Mechanistic Insights of UHRF1:

    • Describes the base flipping mechanism where UHRF1 makes interactions with unmethylated cytosines leading to potential methylation.

Page 24: Understanding Demethylation Processes

  • Roles of MBD4:

    • Contains both methyl-binding domain and glycosylase activity.

  • DNMT1 Passive Loss:

    • Mechanisms involving enzymatic and chemical demethylation through varying processes including DNA repair.

Page 25: Types of Demethylation

  • Outcomes of Demethylation:

    • Deamination of methylcytosine yields thymine; illustrating transformation pathways from cytosine through enzymatic changes.

Page 26: Hydroxymethylation Understanding

  • Pathways of Cytosine Modifications:

    • Cytosine can undergo hydroxymethylation, often debated whether 5hmC is an end product or an intermediate substance in gene regulation.

Page 27: Introduction to Lecture Part III

  • Transition Notice:

    • Commencement of Lecture Part III at LIBERTY UNIVERSITY.

Page 28: Paper Discussion Guidelines

  • Critical Questions for Figures:

    1. What question is being addressed and why?

    2. What methodology is applied?

    3. Key findings reported?

    4. Notable experimental controls?

    5. Additional questions raised by findings?

Page 29: Ooi et al. Figure 1 Analysis

  • Figure detailing interactions with DNMT3 variants and associated functionalities.

Page 30: Ooi et al. Figure 2 Analysis

  • Quantitative measurements of associated modifications (H3K4Me) in response to DNMT3L concentrations.

Page 31: Ooi et al. Figure 3 Analysis

  • Experimental responses of mutant DNMT3L variants underpinning binding efficiency and impacts on methylation outcomes.